Case Study - Boost Restaurant Recommendations Using Yelp Data Scraping
Case Study: Boost Restaurant Recommendations Using Yelp Data Scraping This case study aims to gather and extract relevant information from Yelp's platform, such as business details, user reviews, ratings, and other related data using Yelp data scraping, to gain insights into consumer behavior, business performance, and market trends. Download Now The Client Our client ran a popular online food delivery platform and wanted to improve its restaurant recommendation system by leveraging Yelp data. They aimed to gather valuable insights from Yelp reviews and ratings to enhance their platform's recommendations and provide a better user experience to their customers. Key Challenges While scraping Yelp data, we encountered various anti-scraping challenges, including Captchas, IP blocking, and rate limiting. Hence, it was essential to implement techniques to overcome these measures. As Yelp's website is dynamic, hence, it becomes essential to handle the dynamically changing HTML c...